Discuss the organizational decision making process
Organizational decision-making is often guided by data that has been collected either by the organization themselves, or through the use of evidence-based practice. Data collection is often a long, arduous process while using evidence-based data can give a quick picture as to what might work for the organization.
Is it better to use data the organization has collected for themselves, or can evidence-based information provide what is needed to form decisions? What are some of the drawbacks of using each data type?
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Kelley Higginbotham posted Apr 15, 2020 11:32 AM
Q: Is it better to use data the organization has collected for themselves, or can evidence-based information provide what is needed to form decisions? What are some of the drawbacks of using each data type?
While both styles of data collection provide benefits to organizational decision-making, I believe the most ideal style of data collection to use depends on the question/matter at hand. For example, if organizations seek to improve aspects of their customer service, it makes sense to seek out direct feedback from their customers through surveys, interviews or examining repeat business rates. Using data collected by the organization would benefit managers that need to address concerns such as decreased productivity levels and lowered employee satisfaction (Barends, Rosseau and Briner, 2014). On the other hand, if organizations are investigating whether to use an alternate technology system, they might consider basing their decision on evidence-based data collected from other companies or organizations that have used this technology system.
Some potential drawbacks of using data collected directly by the organization includes biases due to personal opinions of the employees collecting and examining the research, confidentiality concerns of seeking out customer feedback, and the amount of expenses to perform the data collection. The drawbacks of guiding organizational decision-making using evidence-based data include potential concerns of the validity of the source, whether the data was collected ethically, and if the source is credible and relevant.
Barends, E., Rousseau, D.M., & Briner, R.B. (2014). Evidence-based management. Center for Evidence-Based Management. Retrieved from https://www.cebma.org/wp-content/uploads/Evidence-…
Ana Cruz posted Apr 18, 2020 11:19 PM
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Evidence based data is data extracted from research and experimental evaluations for example randomized controlled trials and it proven to make statistically significant difference in highly significant outcomes
Personal/organizational experience derived data or also can be called empirical data is data collected by organization/individuals based on their own personal experience of the subject in interest implying documentation of patterns and results through experimentation
The best example I can think of to illustrate the difference between the two types of data is the use of hydroxychloroquine in treating patients with COVID 19
Doctors and health care professional have a good experience and knowledge in using this drug to treat some diseases like lupus however some personal experience shows that this medicine can help in treating COVID 19 and that’s based on solely on experiment usage rather than evidence based data derived from controlled clinical trials to accurately validate that medicine in treating COVID19. In the drawback, evidence-based data usually is costly and takes more time and resources in comparison to organization experience derived data. However, my personal opinion and what I believe is the ideal decision strategy is to utilize a combination of the two means embracing both evidence based and experience based data when a decision needs to be made.
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